Caner Sancak
Papers
3
Total Citations
84
H-Index
3
About
Caner Sancak is a leading researcher in the field of cable-driven parallel robots (CDPRs), with a primary focus on advanced control strategies for these flexible, large-scale systems. His work addresses the fundamental challenges of CDPRs—namely, their complex, nonlinear dynamics and inherent structural flexibility. Sancak’s major contributions include the development of an intelligent PID (iPID) controller that relies on an ultralocal model, enabling robust position control without requiring a full dynamic model of the robot. He has also pioneered the application of reinforcement learning (RL) for point-to-point and dynamic trajectory tracking in these multi-input multi-output systems, successfully eliminating the need for a separate tension distribution algorithm. Additionally, his research tackles the critical issue of out-of-plane vibration suppression, a key limitation in planar CDPRs. With his most cited works accumulating over 80 citations, Sancak’s innovative, model-free approaches are shaping the future of control for high-performance, large-scale robotic systems, making his work essential reading for researchers in robotics and automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3